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公开(公告)号：US10268986B2
公开(公告)日：2019-04-23
申请号：US14755924
申请日：2015-06-30
申请人： Linkedln Corporation
摘要： Methods, systems and computer program products are provided for requirement feasibility scoring based on a data object and a social network website. In one method, one or more computing devices receive, over a network, a data object that is associated with a user and that includes a requirement. The computers obtain information from a social network website. The computers calculate, based on the data object and the information from the social network website, a score that indicates a likelihood of satisfying the requirement. The computers send the score over the network to a computing device of the user.
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公开(公告)号：US20190065598A1
公开(公告)日：2019-02-28
申请号：US15691623
申请日：2017-08-30
申请人： Linkedln Corporation
发明人： Runfang Zhou , Ajit Paul Singh , Anish Ramdas Nair , Sen Zhou , Vladislav Tcheprasov , Sachin Hosmani , Da Teng
CPC分类号： G06F16/951 , G06Q50/01
摘要： A system, a machine-readable storage medium storing instructions, and a computer-implemented method described herein are directed to a Similar Profiles Engine. The Similar Profiles Engine generates an inverted index query based on one or more portions of profile data of a target member account of a social network service. The Similar Profiles Engine identifies respective profile data, of one or more candidate member accounts in the social network service, that maps to at least one inverted index filter, the at least one inverted index filter matching at least a portion of the inverted index query. The Similar Profiles Engine calculates a similarity score between each respective candidate member account and the target member account, and causes a display of identifiers of one or more candidate member accounts in a user interface of a client device based on respective similarity scores.
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公开(公告)号：US20190050813A1
公开(公告)日：2019-02-14
申请号：US15671144
申请日：2017-08-08
申请人： Linkedln Corporation
发明人： Qi Guo , Xianren Wu , Bo Hu , Yan Yan , Ketan Thakkar , Shan Zhou , Anish Ramdas Nair , Patrick Cheung
摘要： Disclosed in some examples are methods, systems, and machine readable mediums which provide for retrieval, ranking, and display of candidates that are more likely to respond to employment inquiries in an employment search graphical user interface (GUI). The system may employ a machine learning algorithm which may calculate a score for each member of the social networking service that predicts, based upon one or more features how likely the individual is to respond to a message. In some examples, the candidates that are determined to be more likely to respond may be presented as a selectable option in the GUI.
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公开(公告)号：US20180308057A1
公开(公告)日：2018-10-25
申请号：US15493699
申请日：2017-04-21
申请人： Linkedln Corporation
CPC分类号： G06Q10/1053 , G06Q50/01
摘要： An on-line social network system includes or is in communication with a recommendation system that is configured to assign members to jobs while taking into account fitness of a member for the job, as well as the relevance of that job for that given member, as well as the relevance of the same job for other members. The objective of said optimization is to maximize the total sum of respective relevance scores generated for member/job pairs for members that get selected for presentation to posters of jobs. The optimization objective is constrained by the maximum number of job recommendations desirable for each member profile and may also be constrained by the maximum number of member recommendations desirable for each job posting.
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公开(公告)号：US20180300818A1
公开(公告)日：2018-10-18
申请号：US15485901
申请日：2017-04-12
申请人： Linkedln Corporation
发明人： Victor Louis Kabdebon , Romer E. Rosales , Kinjal Basu , Shaunak Chatterjee , Richard Ramirez , Hari Srinivasan , Daniel Weizman
摘要： Disclosed in some examples are methods, systems, and machine-readable mediums for matching mentee members with mentor members. The member matching may utilize social networking service data and one or more preferences of both the potential mentees and potential mentors. For example, after indicating an interest in being mentored (e.g., being a mentee), a member may be presented with a list of potential mentors that are selected, scored, and in some examples, ranked based upon the member's preferences, the potential mentors' preferences, and other compatibility factors. The member may then select one or more of these potential mentors.
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公开(公告)号：US20180268042A1
公开(公告)日：2018-09-20
申请号：US15461105
申请日：2017-03-16
申请人： Linkedln Corporation
发明人： Hailin Wu , Xiao Bao , Rongsheng Liang , Jianhong Fang , Qi Liu , Hao Ji Wu , Fan Gao , Florence Zhang , Dakan Wang
IPC分类号： G06F17/30
CPC分类号： G06F16/27 , G06F16/2343 , G06F16/245
摘要： A machine may be configured to perform management of a lockdown of entity-related data in a database. For example, the machine identifies a replication lag trend associated with replicating data from a first data center to a second data center. The machine causes, based on the replication lag trend, a replication of data associated with a particular entity from a first record of the first data center to a second record of the second data center. The machine causes a lockdown, for a period of time, of the second record. The lockdown prevents servicing requests for data associated with the particular entity that are received from client devices associated with users related to the particular entity. The machine dynamically adjusts the period of time based on a monitoring of a completion of the replication. The machine causes a lifting of the lockdown based on the dynamically adjusted period of time.
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公开(公告)号：US20180253499A1
公开(公告)日：2018-09-06
申请号：US15447903
申请日：2017-03-02
申请人： Linkedln Corporation
发明人： Christopher Randall Arrowood , Jesse Jyh-Cherng Hsia , Rachel Kumar , Chong Ho Lee , Gaganpreet Singh Shah , Sammy Shreibati , Vivian Mak Urata
CPC分类号： G06F16/9535 , G06F16/3329 , G06Q50/01 , H04L51/32 , H04L67/306
摘要： Among other things, embodiments of the present disclosure discussed herein may be used to receive, analyze, and distribute queries about various topics from a member of an online social network to other members of the social network. The embodiments of the present disclosure may additionally assess the quality of responses to queries by members, as well as expand or narrow the distribution of the query among the social network based on various events and criteria.
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公开(公告)号：US20180232700A1
公开(公告)日：2018-08-16
申请号：US15433741
申请日：2017-02-15
申请人： Linkedln Corporation
发明人： Yi Li , Victor Chen , Krishnaram Kenthapadi , Ganesh Venkataraman
CPC分类号： G06Q10/1053 , G06N99/005 , G06Q50/01
摘要： The disclosed subject matter involves identifying clusters and segments of a population of data for use in a recommendation service. Clusters of members or items are formed, where the clusters, or partitions are close to being equal in size, items are distributed based on similarities identified with matrix factorization. A matrix used in the matrix factorization is customized based on the recommendation type. The items are formed into clusters based on the similarities and the clusters are used in training of a generalized linear mixed model treating the clusters as random-level effects. The trained model may be used in the recommendation service. Other embodiments are described and claimed.
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公开(公告)号：US10037376B2
公开(公告)日：2018-07-31
申请号：US15096067
申请日：2016-04-11
申请人： Linkedln Corporation
发明人： SungJu Cho , Andrew J. Carter , Joshua D. Ehrlich , Jane Alam Jan
IPC分类号： G06F7/00 , G06F17/30 , H04L12/715
CPC分类号： G06F16/285 , G06F9/505 , G06F16/2471 , G06F16/27 , G06F16/278 , G06F16/9024 , G06F16/9535 , H04L45/46
摘要： The disclosed embodiments provide a system for processing data. During operation, the system determines a current incoming queries per second (QPS) to one or more components for processing queries of a graph database, wherein the graph database is replicated across multiple clusters and distributed among a set of storage nodes in each of the clusters. Next, the system uses the current incoming QPS to estimate, for the one or more components, an expected QPS associated with fanning out of the queries to the clusters. The system then selects a number of clusters in the multiple clusters for fanning out of a query based on the expected QPS and one or more throughput limits for the one or more components. Finally, the system transmits the query to one or more of the storage nodes in the selected number of clusters.
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公开(公告)号：US20180089444A1
公开(公告)日：2018-03-29
申请号：US15279342
申请日：2016-09-28
申请人： Linkedln Corporation
CPC分类号： G06F21/6245 , G06F21/6254
摘要： In an example, a submission of a confidential data value of a first confidential data type is received from a first user with one or more attributes. A plurality of previously submitted confidential data values of a first confidential data type for a cohort matching the one or more attributes of the first user are retrieved. Then, one or more intermediate cohorts are derived by generalizing each of the one or more attributes of the cohort up at least one level in a different taxonomy corresponding to each of the one or more attributes. One or more of the intermediate cohorts are selected, and a parameterized distribution is fitted to the previously submitted confidential data values that are contained within the selected one or more of the intermediate cohorts, outputting one or more estimated parameters for each of the selected one or more of the intermediate cohorts. A lower limit for the first confidential data type is then set based on the one or more estimated parameters.
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